Thomas Langerak
ETH Zürich
Department of Computer Science
Institute for Intelligent Interactive Systems
Stampfenbachstr. 48
8092 Zürich
Switzerland
I am currently a Ph.D. candidate in Computer Science at ETH Zürich, working under the guidance of Prof. Dr. Otmar Hilliges in the AIT Lab. My interest lies in exploring the dynamics of human interactions with intelligent systems, such as user interfaces and robots. My research intersects Machine Learning and Human-Computer Interaction, concentrating on integrating models of human behavior into intelligent control strategies. In my work, I develop algorithms and methodologies that not only predict and approximate human behavior but also apply these insights to the control of intelligent interactive systems. Before my Ph.D. at ETH Zürich, I completed a joint M.Sc degree in Computer Science, specializing in intelligent systems, from Aalto University and the University of Twente. Additionally, I hold a B.Sc degree in Industrial Design from Eindhoven University of Technology.
news
Apr 30, 2024 | Excited to announce that my paper on Multi-Agent Reinforcement Learning for Adaptive Point-and-Click UIs has been accepted for publication in Proc. ACM Human-Computer Interaction and will be presented at EICS this June! |
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Jan 31, 2024 | I will be graduating this year. I am looking for next opportunities in academia and industry, both as intern and full-time. |
Oct 15, 2023 | Finished my internship at Meta Reality Labs with a submission to IUI! |
May 1, 2023 | Started a Research Scientist Intern position at Meta Reality Labs! I will be working under the supervision of Kash Todi and Tanya Jonkers . |
selected publications
- EICSMARLUI: Multi-Agent Reinforcement Learning for Adaptive Point-and-Click UIsProc. ACM HCI, 2024
- UISTOptimal control for electromagnetic haptic guidance systemsIn Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, 2020
- UISTOmni: Volumetric sensing and actuation of passive magnetic tools for dynamic haptic feedbackIn Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, 2020
- UISTAalto Interface Metrics (AIM) A Service and Codebase for Computational GUI EvaluationIn Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018